{
    "sklearn": {
        "columns": [
            "Customer_Age",
            "Gender",
            "Dependent_count",
            "Education_Level",
            "Marital_Status",
            "Income_Category",
            "Card_Category",
            "Months_on_book",
            "Total_Relationship_Count",
            "Months_Inactive_12_mon",
            "Contacts_Count_12_mon",
            "Credit_Limit",
            "Total_Revolving_Bal",
            "Avg_Open_To_Buy",
            "Total_Amt_Chng_Q4_Q1",
            "Total_Trans_Amt",
            "Total_Trans_Ct",
            "Total_Ct_Chng_Q4_Q1",
            "Avg_Utilization_Ratio"
        ],
        "environment": [
            "scikit-learn=1.4.2",
            "python=3.11"
        ],
        "model": {
            "file": "model.pkl"
        },
        "task": "tabular-classification",
        "dataset": "Bank Customer Churn Dataset"
    }
}